E3S Web of Conferences 258, 07048 (2021) https://doi.org/10.1051/e3sconf/202125807048 UESF-2021

Usage motivation of a new health application in the elderly and the general public through family institution and social media channels

Kanokwan Kaewprasert1,* 1Suan Sunandha Rajabhat University, ,

Abstract. The purpose of this study was to explore usage motivation and satisfaction of a new health application among the elderly in the Bangkok Metropolitan Region. The sampled population included elderly individuals living in the region, and the data were collected using a questionnaire. The resulting data were then analyzed statistically using frequency, percentage, mean, standard deviation, and multiple regression analysis. The results of the study revealed that the motivation for using the new health application was overall at a very good level. When considered in different aspects, motivation for application usage and self-care were found at a very good level, while the motivation from the application’s benefits and in recommendation or referral were found at a good level. As for usage behavior, users of the new health application were found to use it approximately 4 times per day. The outcomes of the hypothesis tests also revealed that the motivation from the application’s benefits and application usage were found to positively affect the usage satisfaction in terms of the decision to use with statistical significance level of .01. Motivation from the application’s benefits and self-care were also found to positively affect usage satisfaction in terms of usage frequency (times/day) with statistical significance level of .01.

1 Introduction A mobile application is a type of software that runs on mobile phones and tablets. It can be designed as a program, game, command, or to provide other types of assistance on a smartphone. Therefore, there are several types of applications designed to meet the various demands of users. Nowadays, there is a large variety of applications for users to choose from, which they can download and install on their device. Once an application is installed, some of them can be used offline without access to the internet. Such appropriate adoption of technology can extend the scope of learning, enabling faster learning and allowing easy access to knowledge and its application for real-life benefit. Therefore, it has interested the researcher of this study to develop a health application for the elderly that gathers useful information about common health conditions in the elderly - such as diabetes, hypertension, cancer, kidney disease, etc. - and provides users with useful and complete information which can be easily, conveniently, and quickly

* Corresponding author: [email protected]

© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/). E3S Web of Conferences 258, 07048 (2021) https://doi.org/10.1051/e3sconf/202125807048 UESF-2021

accessed. The information included in this application consists of the nature of the diseases, causes, risks, prevention, and treatment, as well as recommendation on diet and exercise for each condition. This was the start of a project to develop a new health application and to promote it through various social media platforms. The primary focus of this application is disease prevention and health promotion among the elderly in the Bangkok Metropolitan Region, as well as provision of educational benefits to the elderly and the general public. Understanding its importance, the researcher was interested in developing and studying this new health application and online promotion platforms/promoting on online platforms [1]. The government has issued a strategic plan to improve the quality of life of the elderly by promoting their ability to learn for life, for the elderly to have knowledge, direction, readiness of the body and mind, and intelligence to be self-reliant. There are development of learning and public communication systems with a primary focus on improving the elderly’s ability to appropriately manage knowledge, information, communication, and information technology in the modern communication context, which often engages the internet as a channel for communication. As the internet is considered a useful technology and a convenient and effective channel of media, there are the elderly people who accept it and are more inclined to use this technology. A previous study on internet usage behavior found that the elderly nowadays have both ability and experience in internet usage. The reasons for use included – convenience, time saving, uncomplicated use, ability to use anywhere and anytime, and usefulness in searching for all types of news information. Such awareness of the benefits of the internet also included that it can provide updates on events or situations and that it can be used as a channel for communication. Nonetheless, the top motives for the elderly to use the internet were reducing communication cost and interacting with other people freely without restrictions of time and place, such as the use of social networks, etc. For this reason, the researcher was interested in studying and creating usage motivation for the new health application among the elderly and the general public through the family institution and social media channels.

2 Methodology

2.1 Research scope

The variables in this study consist of: 1.Personal data: gender, age, marital status, highest education, and Monthly income; 2.Usage motivation of the new health application in the aspects of the application’s benefits, application usage, self-care, and recommendation or referral; 3.Satisfaction in the use by the elderly in the Bangkok Metropolitan Region, including decision to use and usage frequency (times/day).

2.2 Determination of population and sample groups

The population in this research study were elderly individuals in the Bangkok Metropolitan Region who were selected using sampling methods as follows: Step 1 - Simple Random Sampling: Simple random sampling was done in 10 sites with close proximity to Suan Sunandha Rajabhat University, the researcher’s university, to be used as a pilot population and a guideline for further sampling in the study. The sampled population in this step was from the Foundation of Thai Gerontology Research and Development Institute, Suan Sunandha Rajabhat University Alumni Association, Dusit

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District, , , Bang Rak District, , Huai Kwang District, Salaya District, and Bang Phli District. Step 2 - Quota Sampling: Collection of data by distributed by giving questionnaires to the elderly who lived in different areas as mentioned to step 1, with determined quota of 40 people per area. Step 3 - Systematic Random Sampling: Sampling of population was done in the sub- units with similar demographic characteristics. Random samplings were done in intervals during the period of 09:00-18:00 on Monday to Sunday for a total of 10 days. This step resulted in reaching the required total of 400 samples from the Bangkok Metropolitan Region.

2.3 Questionnaire Quality Assessment

In this research, a questionnaire was used for data collection. The questionnaire was created based on literature reviews and various research studies and it was verified by 3 experts to validate the accuracy of content and language used. 40 sets of the questionnaire were then tried out in a non-sample group with similar demographic to the sample population. The result from the try-out was used to calculate Cronbach’s Alpha Coefficient to determine the questionnaire’s reliability. The calculated coefficient alphas were - .7112 for items on the application’s benefits, .7835 for the items on the application usage, .7575 for the items on self-care, and .9312 for the items on recommendation or referral – which are acceptable levels for actual data collection [2,3].

2.4 Data analysis

1. Descriptive Statistics were used to describe the demographic characteristics of the sample population, usage motivation for the new health application, and usage satisfaction. The statistics used include Frequency, Percentage, Mean, and Standard Deviation. As for the part of the questionnaire involving business innovation, for which the 5-level Likert Scale was included in the questions, the criteria for each grading level are determined as follows [2]. Average score Motivation Rating 4.21 – 5.00 = A very good level of motivation 3.41 – 4.20 = A good level of motivation 2.61 – 3.40 = A moderate level of motivation 1.81 – 2.60 = A poor level of motivation 1.00 – 1.80 = A very poor level of motivation 2. Inferential Statistics: Multiple Regression Analysis was used to test the hypothesis “the motivation for use of the new health application in the aspects of the application’s benefits, application usage, self-care, and recommendation or referral have effects on the usage satisfaction of the elderly in the Bangkok Metropolitan Region.” [5]

3 Result

Results of demographic characteristics and motivation in the use of a new health application and usage satisfaction of the elderly in the Bangkok Metropolitan Region. 1. Demographic characteristics of the sample population: From Table 1, it was found that the majority of the sample population were female, aged 60-65 years, followed by 66-

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70, and 71-75 years old respectively [6]. Most of them were single, followed by those who were married/living together, and those who were divorced/widowed/separated respectively. The majority of them had lower than undergraduate education, followed by those with undergraduate or equivalent education, and those with postgraduate or higher education. Most of the population had a monthly income of 10,001-15,000 Baht, followed by those who earned 15,001-20,000 Baht, those who earned lower than or equal to 10,000 Baht, and those who earned 20,001-25,000 Baht respectively [7]. Table 1. Frequency and percentage of the demographic characteristics of the respondents. Number Demographic characteristics Percentage (people) Male 158 39.5 1. Gender Female 242 60.5 Total 400 100.0 60–65 years 157 39.3 66--70 years 109 27.2 2. Age 71-75 years 70 17.5 75 years and older 64 16.0 Total 400 100.0 Single 236 59.0 3. Status Married / Living together 149 37.3 Divorced / Widowed / Separated 15 3.7 Total 400 100.0 Lower than undergraduate 226 56.5 4. Education Undergraduate or equivalent 136 34.0 Postgraduate or higher 38 9.5 Total 400 100.0 Less than or equal to 10,000 Baht 60 15.0 10,001 - 15,000 Baht 149 37.3 5. Monthly income 15,001 - 20,000 Baht 112 28.0 20,001 - 25,000 Baht 53 13.2 25,000 Baht or more 26 6.5 Total 400 100.0 2. Usage motivation for the new health application includes the application’s benefits, application usage, self-care, and recommendation or referral: According to Table 2, motivation for using the new health application was overall at a very good level, and when considered by aspect, it was found that: Application’s benefits [8] - The sample population was found having usage motivation from the application’s benefits at a good level. The users could use it to search for information for disease prevention and health care and to learn information about common health conditions in the elderly. It was also found to raise disease prevention and health awareness and help prevent and mitigate the risks of diseases. Application usage - The sample population was found having usage motivation from the application usage at a very good level. When considered item by item, the users found that fonts used in the application are large in size and easy to read. The application also allowed them easy-to-understand and convenient access to a variety of their interested topics. The application was easy to download through the App Store or Play Store and it included necessary and complete information.

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Table 2. Mean and standard deviation of usage motivation for the new health application. Level Usage motivation ̸Ŭ SD Inter Application’s benefits 1. Users are provided with information about common health 4.15 .463 Good conditions in the elderly. 2. Users can search for information necessary for disease 4.24 .635 Very good prevention and health care. 3. It helps prevent and mitigate the risks of diseases. 4.11 .629 Good 4. It raises awareness of disease prevention and health care. 4.14 .462 Good Overall motivation from the application’s benefits 4.16 .547 Good Application usage 5. The application is easy to download through the App 4.26 .669 Very good Store or Play Store. 6. It contains complete and necessary information that users require. 4.15 .754 Good 7. It allows users easy-to-understand and convenient access to a 4.33 .695 Very good variety of their interested topics. 8.The fonts used are large in size and easy to read. 4.55 .470 Very good Overall motivation from application usage4.32.647Very good Self-care 9. Users want to reduce the risks of diseases. 4.33 .825 Very good 10. Users want to eat a healthy diet and do appropriate exercise 4.25 .606 Very good 11. Users want to avoid behaviors that cause negative health effects. 4.12 .645 Good 12. Users want to promote a positive attitude in health care. 4.22 .644 Very good Overall motivation from self-care 4.23 .680 Very good Recommendation or referral 13. Users can use the information they have obtained to 4.14 .782 Good recommend or provide advice to others. 14. Users perceive and understand the information from the trial 4.25 .525 Very good usage of the application. 15. Users can recommend downloading or accessing the 4.06 .606 Good application to others. 16. Users can advise others on the basic usage of the application. 4.13 .645 Good Overall motivation from recommendation or referral 4.14 .639 Good Overall usage motivation for the new health application 4.21 .628 Very good Self-care - The sample population was found having usage motivation from their own self-care at a very good level. When considered item by item, it was found that they wanted to reduce the risks of health issues, eat a healthy diet, do exercise as appropriate, promote a positive attitude in health care, and avoid harmful health behavior. Recommendation or referral - The sample population was found having usage motivation from recommendation or referral at a good level. When considered item by item, it was found that users could perceive and understand the information from their trial usage of the application, and they could use the information they obtained to recommend or provide advice to others [9]. They could advise others on the basic usage of the application and could advise others about downloading or accessing the application. 3. Usage satisfaction for the new health application: According to Table 3 and4, the overall decision to use was at a very good level. When considered by each aspect, users’ decision to use was due to; the application was free with no additional cost, it helped them exercise and develop brain function to prevent amnesia, it was a way to spend free time usefully, and it helped users get more practice with technology to facilitate their daily life. The sample population was found with usage frequency up to 32 times per day at the

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maximum and 1 time per day at the minimum. The mean usage frequency was 4 times per day. Table 3. Mean and standard deviation of usage satisfaction for the new health application in decision to use factors. Level Factors for decision to use ̸Ŭ SD Interpretation 1. It is a free application with no additional cost. 4.56 .316 Very good 2. It helps exercise and develop brain function to 4.33 .365 Very good prevent amnesia. 3. It helps practice the use of technology to facilitate 4.21 .679 Very good their daily life. 4. It is a useful use of free time. 4.27 .522 Very good Overall decision to use 4.34 .470 Verygood Table 4. Minimum, maximum, mean, and standard deviation of usage satisfaction for the new health application in the aspect of usage frequency(times/day).

Aspect of usage satisfaction Min Max ̸Ŭ SD 1. Frequency (times/day) 1 32 8.27 4.12 Additionally, from Table 5, it was found that most of the sample population had access to social media platforms via mobile phones, tablets, laptop computers, and others. The people who had influence on their social media access were family or relatives, friends, and various types of advertisement. 4. Future use and recommendation to others: The results of the research revealed that the sample population was most likely to continue to use this new health application and they would also definitely recommend this application to the people they know, as shown in Table 6. Table 5. Frequency and percentage of applications’ usage behavior in daily life and influence on applications’ usage. Applications’ usage behavior in daily life Number of people Percentage 1. Social media platforms were most accessed via: Mobile phone 276 69.0 Tablet 78 19.5 Laptop computer 40 10.0 Others 6 1.5 Total 400 100 2. Access to social media platform was influenced by: Family / Relatives 206 51.5 Friends 104 26.0 Various types of advertisement 90 22.5 Total 400 100 Table 6. Mean and standard deviation of future use and recommendation of the new health application. Future use and recommendation Level ̸Ŭ SD Interpreted results 1. In the future, will you continue to use this new 4.41 .497 Definitely use health application for prevention and health promotion? 2. Would you recommend or tell people you know 4.35 .580 Definitely to use this application? recommend

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Table 7. Stepwise Multiple Regression Analysis of the effects of usage motivation on the usage satisfaction of the new health application. Variable B SE t Sig. Tolerance VIF Usage satisfaction: Decision to use Constant 306.36 58.15 5.63 .000 Application’s 73.52 14.96 4.77 .000 .789 1.57 benefits (X1) Application usage (X2) 38.46 11.91 2.98 .003 .789 1.57 R 2 = .055 Adjusted R2 = .051 SE = 3.09 Usage satisfaction: Usage frequency (times/day) Constant 372.43 58.15 5.63 .000 Application benefits (X1) 79.17 14.96 4.77 .000 .789 1.57 Self-care (X3) 39.47 11.91 2.98 .003 .789 1.57 R 2 = .127 Adjusted R2 = .122 SE = 2.99 ** Statistically significant at the .01 level. Analysis results on the effects of motivating factors in users’ decision to use the new health application showed that motivation from the application’s benefits and application usage were determining factors of usage satisfaction at a statistically significant level of .01. On the contrary, motivation from application usage, self-care, and recommendation or referral was not determining factors on the decision to use with a statistical significance at .01 as shown in Table 7. Analysis results on the effects of motivating factors on usage frequency of the new health application showed that motivation from the application’s benefits and self-care were determining factors of usage satisfaction at a statistically significant level of .01. In contrast, motivation from application usage and recommendation or referral were not determining factors on usage frequency with a statistical significance at .01.

4 Discussion A comparative analysis of usage satisfaction of the new health application in regard to demographic characteristics revealed that the sample population with different levels in education and monthly income was found with different levels of satisfaction in terms of decision to use and usage frequency. This is consistent with a study of Suwich Tirakoat and [4] “Internet usage behaviors, literacy, and attitude towards utilization of wellness content on the internet among Thai elderly”. The study found that most of the elderly surveyed were aged 50-55 years old, living outside a municipality, having secondary education and a bachelor's degree, working in government agencies, and having 1-5 years of experience in using the internet. Their main purpose of internet usage was to communicate with friends and knowledgeable people, as well as to search for health knowledge using Facebook application. Their internet literacy skills were mainly at access and analysis levels. Additionally, the elderly with different education levels, occupations, internet usage experience, and usage purposes were also found with significantly different levels of internet literacy (p <.05). The analysis results revealed that motivation from the application’s benefits and application usage had effects on the usage satisfaction of the decision to use the new health application. This might be due to the elderly’s needs of useful knowledge that can be easily accessed. This is in line with a study of [1] “Social Network Usage Behavior and Bangkok Older Person’s Satisfaction” which found that the elderly who used different social media

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platforms - Facebook, Twitter and Line applications - had different satisfaction levels of online social networks usage. Nonetheless, the analysis revealed that usage motivation from the application’s benefits and self-care had effects on the usage satisfaction of the new health application in the form of usage frequency. This might be due to human nature that people often care for their own health and well-being. This corresponds to a study of [6] “Lifestyles and Behaviors in Using Social Network by Office Workers in Bangkok”, which found that a majority of the sample population were Facebook users. They were found using social media platforms during 18:01-22:00 for 7 days per week. They would spend an average of 90 minutes during each use and most of them accessed online social media platforms using a computer at home or in a dormitory. The activities which these office workers did regularly on these social media platforms were chatting with friends, updating their personal status, information, or photos, and searching or exchanging information. Most of the Bangkok office workers who used social networking services had a family-oriented lifestyle, with 20 families who would express their activities, interests, and opinions about relationships. In addition, the office workers with different occupations and income were also found using social media platforms at different periods of time.

References 1. K. Bantadthong, Social Networking Behavior and Satisfaction of Elderly in Bangkok (Bangkok University, 2015) 2. K. Vanichbuncha, Statistical Analysis: Statistics for Decision Making ( University, 2011) 3. D. Ushakov et al., E3S Web of Conferences 164, 09004 (2020) 4. K. Vanichbuncha, Statistics ( Press, 2001) 5. P. Pravespraison, Service usage of social network relating to achievement motives and working behavior of working age officers in Bangkok Metropolis (Srinakharinwirot University, 2013) 6. P. Kanphon, A Study of Attitude of Using and Satisfaction of Communication Social Network Online Case Study: Undergraduate Student and Officer of Chalermkarnchana College in Phetchabun (Dhurakij Pundit University, 2010) 7. D. Ushakov, T. Auliandri, IOP Conference Series: Materials Science and Engineering 753(8), 082024 (2020) 8. S. Tirakoat, W. Polnigongit, J. of Nursing and Health Care. 6 (2018) 9. H.T. Van, E3S Web of Conferences 175, 13034 (2020)

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